• DocumentCode
    2086553
  • Title

    Connected component analysis for Indian license plate infra-red and color image character segmentation

  • Author

    Vishwanath, N. ; Somasundaram, Sivanand ; Ravi, M.R.R. ; Nallaperumal, N.K.

  • Author_Institution
    Cape Inst. of Technol., Kanniyakumari, Levengipuram, India
  • fYear
    2012
  • fDate
    18-20 Dec. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Character segmentation is a necessary preprocessing step for character recognition in many license plate recognition systems. It is important because incorrectly segmented characters are less likely to be recognized correctly. In this article segmentation scheme of Indian LP has been proposed with some unconventional and easy-to implement technique - The connected component analysis. In this paper the first part is taken into consideration some preprocessing operations and the second part is for connected component analysis by means of labelling algorithm, aspect ratio analysis and pixel count analysis. By using the corresponding co-ordinates, characters are extracted from the license plate. Results for this method are promising even in tough conditions.
  • Keywords
    character recognition; image colour analysis; image segmentation; Indian license plate infrared; aspect ratio analysis; character recognition; color image character segmentation; connected component analysis; labelling algorithm; license plate recognition system; pixel count analysis; Aspect Ratio Analysis; Connected Component Labelling; Gray scale; Otsu Thresholding; Pixel Count Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence & Computing Research (ICCIC), 2012 IEEE International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4673-1342-1
  • Type

    conf

  • DOI
    10.1109/ICCIC.2012.6510323
  • Filename
    6510323